A comprehensive data collection and processing protocol for general aviation pilot performance assessment and behaviour research

This technical report presents a comprehensive data collection and processing protocol designed for assessing general aviation pilot performance and supporting behaviour research. The protocol integrates multiple data sources including flight simulator data, e-plane telemetry, traditional aircraft performance metrics, instructor assessments, physiological biomarkers, and eye tracking measurements. The framework addresses the critical need for standardized, objective measures in pilot training evaluation, moving beyond traditional flight-hour-based models toward data-driven competency assessment. This protocol serves as a foundational resource for researchers and practitioners working to transform ab initio pilot training through evidence-based methodologies.